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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519) - Softcover
Synopsis
This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.
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From the Back Cover
This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.
Review
From the book reviews:
“The author presents an up-to-date review of recent advances in this area. ... this is a very interesting, complete, and up-to-date book about various aspects of machine learning and decision making using hybrid classifiers. Although the author makes this book accessible to students and practitioners, it is probably more oriented to advanced undergraduate or graduate courses focused on improving machine learning methods and applications.” (Fernando Osorio, Computing Reviews, July, 2014)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 3662523043
- ISBN 13 9783662523049
- BindingPaperback
- LanguageEnglish
- Number of pages233
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
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Hybrid Classifiers
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ISBN 10: 3662523043
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification. 236 pp. Englisch. Seller Inventory # 9783662523049
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence, 519)
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Hybrid Classifiers : Methods of Data, Knowledge, and Classifier Combination
Published by
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ISBN 10: 3662523043
ISBN 13: 9783662523049
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification. Seller Inventory # 9783662523049
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Hybrid Classifiers
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ISBN 13: 9783662523049
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on Classifier FusionPresents Methods of Data and Classifier FusionWritten by leading experts in the fieldThis book delivers a definite and compact knowledge on how hybridization can help improving the quality of c. Seller Inventory # 449138612
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence)
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Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence)
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